1 citations · 1 across the 9 of their papers we have counts for
3 papers · 1 filter
Learning Energy-Based Generative Models via Potential Flow: A Variational Principle Approach to Probability Density Homotopy Matching
Junn Yong Loo, Michelle Adeline, Julia Kaiwen Lau +6
Energy-based models (EBMs) are a powerful class of probabilistic generative models due to their flexibility and interpretability. However, relationships between potential flows and…
Causal-Ex: Causal Graph-based Micro and Macro Expression Spotting
Pei-Sze Tan, Sailaja Rajanala, Arghya Pal +2
Detecting concealed emotions within apparently normal expressions is crucial for identifying potential mental health issues and facilitating timely support and intervention. The ta…
Denoising via Repainting: an image denoising method using layer wise medical image repainting
Arghya Pal, Sailaja Rajanala, CheeMing Ting +1
Medical image denoising is essential for improving the reliability of clinical diagnosis and guiding subsequent image-based tasks. In this paper, we propose a multi-scale approach…